Data

Applitools introduces AI based automated root cause analysis to pinpoint bugs quickly

2 min read

Yesterday, Applitools, the creator of Application Visual Management (AVM), introduced the AI based automated root cause analysis tool for developers and QA teams for quickly pinpointing bugs within web applications.

Root cause analysis saves time

                                                 Source: Applitools

Adam Carmi, CTO at Applitools told PR Newswire,“Root cause analysis for visual testing will significantly shorten the meantime for resolution of application bugs from hours down to minutes.”

The root cause analysis lets the front-end developers and QA teams target the cause of bugs in application code in lesser time as compared to traditional bug diagnosis practices.

With the root cause analysis, developers won’t have to go through thousands of lines of DOM and CSS for finding the root cause, instead, a few lines could also work. This increases productivity as the development and QA teams can function smoothly and deliver the product on time. It makes the process of bug fixing faster. It also saves the time of shift left testing, an approach to system testing and software testing.

The root cause analysis also shows the visual difference between a baseline screenshot and a test screenshot. Applitools’ user interface version control now includes DOM and CSS associated with each screenshot. It helps the development teams to experience the visual appearance of a web application and the changes made in DOM and CSS. The Applitools root cause analysis correlates the visual differences to DOM and CSS. The major advantage of Applitools AI tool is that it shows only those DOM differences that highlight the visual bug.

Root Cause Analysis is currently working with Applitools SDKs for Selenium WebDriver and Java, JavaScript, C#, Python, and Ruby; WebdriverIO, Cypress, and Storybook.

Read more about this news on Applitools.

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Amrata Joshi

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Amrata Joshi

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